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Titlebook: Recent Advances in Intrusion Detection; 10th International S Christopher Kruegel,Richard Lippmann,Andrew Clark Conference proceedings 2007

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21#
發(fā)表于 2025-3-25 03:27:16 | 只看該作者
22#
發(fā)表于 2025-3-25 08:03:36 | 只看該作者
Exploiting Execution Context for the Detection of Anomalous System Callssystem call invocations in terms of both the invocation context and the parameters passed to the system calls. Our technique provides a more precise detection model with respect to solutions proposed previously, and, in addition, it is able to detect data modification attacks, which cannot be detected using only system call sequence analysis.
23#
發(fā)表于 2025-3-25 15:28:09 | 只看該作者
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發(fā)表于 2025-3-25 22:31:10 | 只看該作者
Exploiting Execution Context for the Detection of Anomalous System Calls, several approaches have been proposed to detect anomalous system calls. These approaches are mostly based on modeling acceptable system call sequences. Unfortunately, the techniques proposed so far are either vulnerable to certain evasion attacks or are too expensive to be practical. This paper pr
26#
發(fā)表于 2025-3-26 03:36:18 | 只看該作者
27#
發(fā)表于 2025-3-26 07:57:41 | 只看該作者
Comparing Anomaly Detection Techniques for HTTP HTTP specific IDSs have been proposed as a response. However, each IDS is developed and tested independently, and direct comparisons are difficult. We describe a framework for testing IDS algorithms, and apply it to several proposed anomaly detection algorithms, testing using identical data and tes
28#
發(fā)表于 2025-3-26 08:40:11 | 只看該作者
Swaddler: An Approach for the Anomaly-Based Detection of State Violations in Web Applicationsdical, financial, and military systems. As the use of web applications for critical services has increased, the number and sophistication of attacks against these applications have grown as well. Most approaches to the detection of web-based attacks analyze the interaction of a web application with
29#
發(fā)表于 2025-3-26 15:56:14 | 只看該作者
30#
發(fā)表于 2025-3-26 19:33:26 | 只看該作者
The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardwareign addresses three challenges: .? distributing traffic evenly across an extensible set of analysis nodes in a fashion that minimizes the communication required for coordination, .? adapting the NIDS’s operation to support coordinating its . analysis rather than just aggregating alerts; and .? valid
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